Open Access

ARTICLE

Optimized Model Based Controller with Model Plant Mismatch for NMP Mitigation in Boost Converter

R. Prasanna^1,*, Uma Govindarajan¹, N. S. Bhuvaneswari²

1 Department of Electrical and Electronics Engineering, Power System Division, College of Engineering Guindy, Anna University, Chennai, 600025, India
2 Department of Electrical and Electronics Engineering, GKM College of Engineering and Technology, Chennai, 600063, India

* Corresponding Author: R. Prasanna. Email:

Computer Systems Science and Engineering 2023, 46(2), 1961-1979. https://doi.org/10.32604/csse.2023.032424

Received 17 May 2022; Accepted 28 October 2022; Issue published 09 February 2023

Abstract

In this paper, an optimized Genetic Algorithm (GA) based internal model controller-proportional integral derivative (IMC-PID) controller has been designed for the control variable to output variable transfer function of dc-dc boost converter to mitigate the effect of non-minimum phase (NMP) behavior due to the presence of a right-half plane zero (RHPZ). This RHPZ limits the dynamic performance of the converter and leads to internal instability. The IMC PID is a streamlined counterpart of the standard feedback controller and easily achieves optimal set point and load change performance with a single filter tuning parameter λ. Also, this paper addresses the influences of the model-based controller with model plant mismatch on the closed-loop control. The conventional IMC PID design is realized as an optimization problem with a resilient controller being determined through a genetic algorithm. Computed results suggested that GA–IMC PID coheres to the optimum designs with a fast convergence rate and outperforms conventional IMC PID controllers.

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Keywords

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